Manual Thinning

Manual Thinning is a cluster thinning technique that belongs to the class of labor-intensive, human-executed selection processes, distinguished by its reliance on individual expert judgment to selectively remove clusters without automated or algorithmic intervention.

16

Publications

2.7K

Citations

56

Authors

22

Institutions

Publications per year

2017–2026

4

Authors

56

  1. MA
    Marcos Antônio Giovanaz

    Universidade Federal de Pelotas, Brazil

    2 publications · 23 citations

    2

    h-index

  2. WE
    Wendy E. Easton

    Environment and Climate Change Canada, Canada

    2 publications · 107 citations

    2

    h-index

  3. KM
    Kathy Martin

    University of British Columbia, Canada

    2 publications · 107 citations

    2

    h-index

  4. DW
    Diego Weber

    Universidade Federal de Pelotas, Brazil

    1 publications · 13 citations

    1

    h-index

  5. GB
    G. Baruzzi

    Istituto Sperimentale per la Frutticoltura, Italy

    1 publications · 48 citations

    1

    h-index

1–5 of 56

Venues

  1. Silva Fennica

    2 publications · 71 citations

    2

    h-index

  2. Revista Brasileira de Fruticultura

    2 publications · 23 citations

    2

    h-index

  3. Ecography

    1 publications · 2.3K citations

    1

    h-index

  4. Eye

    1 publications · 12 citations

    1

    h-index

  5. HortScience

    1 publications · 18 citations

    1

    h-index

1–5